An in silico investigation of allosteric inhibition potential of Dihydroergotamine against Sars-CoV-2 Main Protease (MPro)
Abstract
Possible allosteric inhibitors of MPro were investigated using in silico methods. To this end, FDA-approved drugs in the DrugBank database were subjected to virtual screening, and drugs that strongly bind distant from the catalytic site of MPro were identified using molecular docking. Among the identified drugs, Dihydroergotamine (DHE) was chosen for further investigation due to its highest binding score against MPro in the molecular docking experiment. The allosteric inhibition potential of DHE toward MPro was demonstrated by applying some computational tools on the trajectory files which were obtained from the Molecular Dynamics Simulations. Results support that the hydrogen bonding interactions of DHE with GLU278 and THR280, located between Protomer A and Protomer B, affect the structure of the side chain of CYS145 at the catalytic site of MPro. Considering the role of CYS145 in the catalytic cycle, this structural change is likely to be a mechanism for inhibiting MPro.
Read the paper
Related studies
- Protective effects of tadalafil and N-acetyl cysteine therapy on cisplatin-induced testicular toxicity
- The Use of Generative AI for Scientific Literature Searches for Systematic Reviews: ChatGPT and Microsoft Bing AI Performance Evaluation
- Sildenafil as a Candidate Drug for Alzheimer’s Disease: Real-World Patient Data Observation and Mechanistic Observations from Patient-Induced Pluripotent Stem Cell-Derived Neurons
- Ozone-modified properties of pumpkin seed oil as anti-H. pylori, anticancer, anti-diabetic and anti-obesity agent
- Effectiveness of Low-Intensity Extracorporeal Shock Wave Therapy in Erectile Dysfunction: An Analysis of Sexual Function and Penile Hardness at Erection: An Umbrella Review
- Molecular Docking of Silymarin as a Ligand for Aromatase Enzyme and HIV-1 Reverse Transcriptase Using Molegro Virtual Docker
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.